The Sunn [Eurygaster spp. (Hemiptera: Scutelleridae)] damage in wheat and the effect of seed amount used on yield by fuzzy logic method

Mustafa Ilcin 1, * and Senol Celik 2

1 Department of Entomology, Plant of Protection, Faculty of Agriculture, Bingol University, Bingol, Turkey.
2 Department of Animal Science, Biometry and Genetic, Faculty of Agriculture, Bingol University, Bingol, Turkey. 
Research Article
World Journal of Advanced Research and Reviews, 2021, 11(01), 239–246
Article DOI: 10.30574/wjarr.2021.11.1.0193
Publication history: 
Received on 27 March 2021; revised on 29 April 2021; accepted on 01 May 2021
Sunn pest (Eurygaster spp.) is a highly harmful insect species for Wheatgrass. Especially with the emphasis it makes in herbal products, it causes the wheat to lose both its bread and pasta qualities. This study presents an example of a model that approximates the wheat yield in the irrigated field in Batman province according to the criteria selected through fuzzy logic. In the modelling, firstly the parameters affecting the wheat yield were determined and input and output variables were defined. In the next step, the membership functions are determined by doing the blurring process. The triangular membership function has been selected for the membership function. Later, fuzzy rule base was determined and fuzzy rules were formed. In the next step, the fuzzy inference mechanism was created. For the rinsing process, the "weight average" method was used. In the study, fuzzy logic toolbox was used in Matlab and the results obtained were seen to be useful in determining wheat yield per decare.
Wheat; Sunn pest; Fuzzy logic; Membership
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